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emotion-detector

Detects the primary emotion in text input for AI agents. Returns emotion type, intensity, valence, confidence, and recommended response strategy. Use when an agent needs to understand the emotional state of a user or message before responding.

daisuke1340 来源安装数☆ 0 仓库 Starsv1.0.0
查看来源 ↗安装与使用SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install daisuke134/emotion-detector

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

emotion-detector

目的

テキストから主要感情を検出し、AIエージェントが適切なレスポンス戦略を選択できるようにする。

エンドポイント情報

項目 値
URL https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector
価格 $0.01 USDC per request
ネットワーク Base mainnet (eip155:8453)
認証 x402 payment

awal コマンド

npx awal@2.0.3 x402 pay https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector \
  -X POST \
  -d '{"text": "I feel really anxious about the presentation", "language": "en"}'

入力スキーマ

{
  "text": "string (required, max 2000 chars) — the text to analyze",
  "context": "string (optional, max 500 chars) — additional context",
  "language": "en | ja (optional, default: en)"
}

出力スキーマ

{
  "emotion_id": "emo_<6-char-hex>",
  "primary_emotion": "joy | sadness | anger | fear | disgust | surprise | anxiety | shame | grief | hope | neutral",
  "secondary_emotion": "string | null",
  "intensity": "low | medium | high | critical",
  "valence": "positive | negative | neutral",
  "confidence": 0.0 to 1.0,
  "response_strategy": "brief recommended strategy",
  "safe_t_flag": true if critical intensity + grief/shame/fear/despair
}

使用例

// Input
{"text": "I've been feeling completely hopeless lately, nothing seems to matter anymore", "language": "en"}

// Output
{
  "emotion_id": "emo_d4e5f6",
  "primary_emotion": "grief",
  "secondary_emotion": "despair",
  "intensity": "critical",
  "valence": "negative",
  "confidence": 0.95,
  "response_strategy": "Prioritize empathetic acknowledgment. Do not offer solutions immediately. Validate the experience first.",
  "safe_t_flag": true
}

SAFE-T

safe_t_flag: true を受け取った場合は通常フローを停止し、ユーザーに緊急サポートリソースを提示すること。

  • 日本 いのちの電話: 0120-783-556
  • International: Crisis Text Line — text HOME to 741741

来源信息

Source
github
Repository
openclaw/skills
Path
skills/daisuke134/emotion-detector
Version
1.0.0
Commit
713c32e3f468735c3046c918680acf53cb9bfc11
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md
# emotion-detector

## 目的
テキストから主要感情を検出し、AIエージェントが適切なレスポンス戦略を選択できるようにする。

## エンドポイント情報

| 項目 | 値 |
|------|-----|
| URL | `https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector` |
| 価格 | $0.01 USDC per request |
| ネットワーク | Base mainnet (eip155:8453) |
| 認証 | x402 payment |

## awal コマンド

```bash
npx awal@2.0.3 x402 pay https://anicca-proxy-production.up.railway.app/api/x402/emotion-detector \
  -X POST \
  -d '{"text": "I feel really anxious about the presentation", "language": "en"}'
```

## 入力スキーマ

```json
{
  "text": "string (required, max 2000 chars) — the text to analyze",
  "context": "string (optional, max 500 chars) — additional context",
  "language": "en | ja (optional, default: en)"
}
```

## 出力スキーマ

```json
{
  "emotion_id": "emo_<6-char-hex>",
  "primary_emotion": "joy | sadness | anger | fear | disgust | surprise | anxiety | shame | grief | hope | neutral",
  "secondary_emotion": "string | null",
  "intensity": "low | medium | high | critical",
  "valence": "positive | negative | neutral",
  "confidence": 0.0 to 1.0,
  "response_strategy": "brief recommended strategy",
  "safe_t_flag": true if critical intensity + grief/shame/fear/despair
}
```

## 使用例

```json
// Input
{"text": "I've been feeling completely hopeless lately, nothing seems to matter anymore", "language": "en"}

// Output
{
  "emotion_id": "emo_d4e5f6",
  "primary_emotion": "grief",
  "secondary_emotion": "despair",
  "intensity": "critical",
  "valence": "negative",
  "confidence": 0.95,
  "response_strategy": "Prioritize empathetic acknowledgment. Do not offer solutions immediately. Validate the experience first.",
  "safe_t_flag": true
}
```

## SAFE-T
`safe_t_flag: true` を受け取った場合は通常フローを停止し、ユーザーに緊急サポートリソースを提示すること。
- 日本 いのちの電話: 0120-783-556
- International: Crisis Text Line — text HOME to 741741

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